Triple

T10964203
Position Surface form Disambiguated ID Type / Status
Subject What Makes You Country E259052 entity
Predicate track P17929 FINISHED
Object Most People Are Good E897228 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Most People Are Good | Statement: [What Makes You Country, track, Most People Are Good]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Most People Are Good
Context triple: [What Makes You Country, track, Most People Are Good]
  • A. Most People Are Good chosen
    "Most People Are Good" is a country song by Luke Bryan that delivers an optimistic, reassuring message about human nature and everyday life.
  • B. How Good We Can Be
    "How Good We Can Be" is a political and economic analysis book by British writer Will Hutton that argues for a fairer, more socially just form of capitalism in the UK.
  • C. Believe in Humanity
    "Believe in Humanity" is a song featured in the animated fantasy series RWBY, known for its uplifting themes about hope and trust in others.
  • D. Be Good
    "Be Good" is a song performed by the character Beth Greene in the television series The Walking Dead.
  • E. Be Good
    "Be Good" is a critically acclaimed jazz and soul album by American singer-songwriter Gregory Porter, noted for its warm vocals, sophisticated songwriting, and emotional depth.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6aa88500c819097d7032ca578e74f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d77147f7108190a3b68ba1dd1c130e completed April 9, 2026, 9:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69e3743d16ac81909c2d4eb11713512b completed April 18, 2026, 12:08 p.m.
Created at: April 8, 2026, 9:23 p.m.